We first compare performances of three single-hand methods, i.e. Boukhayma et al.  [1]}, Pose2Mesh [2]} and BiHand [3]}. Our approach significantly outperforms all the state-of-the-art single-hand approaches. On the “IH26M-ALL” split, compared with BiHand [3]}, our model reduces MPJPE from \(25.10\) mm to \(10.97\) mm, resulting in as much as \(56\%\)  error reduction. And in the more challenging “IH26M-Inter” split, our approach obtains about \(47\%\)  accuracy improvement. This shows existing single-hand pose estimators do not handle heavy hand-hand occlusions and are easily confused by the other distracting hand.
